1. Image Size Invariant Visual Cryptography for General Access Structures Subject to Display Quality Constraints 報告者 : 陳建宇

2. Abstract  Conventional visual cryptography (VC)suffers from a pixel-expansion problem, or an uncontrollable display quality problem for recovered images, and lacks a general approach to construct VSSS for GAS.  propose a general and systematic approach to address these issues without sophisticated codebook design. This approach can be used for binary secret images in non-computeraided decryption environments.

3.  To avoid pixel expansion, We begin by formulating a mathematic model for the VC construction problem to find the column vectors for the optimal VC construction, after which we develop a simulated-annealing-based algorithm to solve the problem.

4.  (VCSs) can be divided into two categories:  1. threshold access structure (also known as k- out-of-n VCSs or (k,n)-VCSs)  2.general access structure (GAS).Naor and Shamir focused on how to generaten shares such that the secret image is revealed by at least k shares (2≤k ≤n).

5.  Lee and Chiu (hereinafter Lee) proposed a generic VC construction method for GAS.  Their approach can perfectly recover black secret pixels, but it results in decreasing contrast of recovered images in some access structures.  existing VCS construction algorithms for GASs cannot simultaneously avoid the pixel-expansion problem and guarantee an acceptable blackness.  These issues motivated us to develop a systematic approach to the construction of size invariant VCSs (SIVCSs or VCSs in short) for GASs subject to the adjustable display quality of recovered images

9. CONCLUSION  The proposed model for SIVCSs eliminates the disadvantages of the pixel-expansion problem from which conventional VC scenarios suffer.  First, this is the first solution for weak SIVCS for GASs subject to controllable blackness of black secret pixels.  Second, we formulate the construction problem of the SIVCS for GASs as a mathematical optimization problem such that the problem can be solved by using optimization techniques.  Third, the proposed method is a general and systematic approach that can be applied to any  VC schemes without individually redesigning codebooks or basis matrices.